Covid CXR Hackaton

Artificial Intelligence for Covid-19 prognosis: aiming at accuracy and explainability

cxr Hackaton

Launched during the Dubai Expo 2020, the Hackaton aims at designing effective solutions based on machine learning and data science supporting the medical doctor to formulate a Covid-19 prognosis from early chest X-ray images and clinical data collected during triage.

A prize will be awarded for the approach with the highest level of explainability.

A team of three XAI PhD students is joining the competition:

  • Giovanni Camarda
  • Eleonora Cappuccio
  • Andrea Rafanelli

Important Dates

  • Jan. 27 – Registration opens
  • Feb. 01 – Hackathon opening event at Dubai EXPO
  • Feb. 15 – Results submission opens
  • Mar. 01 – Final day for results submission
  • Mar. 03 – Final day for the submission of the solution description (max 2 pages)
  • Mar. 10 – Hackathon closing event with announcement of winners and prizes